2.5k citations · 16.5k across the 126 of their papers we have counts for
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astro-ph.IM2019★ 82 cited
Identifying Strong Lenses with Unsupervised Machine Learning using Convolutional Autoencoder
Ting-Yun Cheng, Nan Li, Christopher J. Conselice +3
In this paper we develop a new unsupervised machine learning technique comprised of a feature extractor, a convolutional autoencoder (CAE), and a clustering algorithm consisting of…
astro-ph.IM2019★ 46 cited
The use of convolutional neural networks for modelling large optically-selected strong galaxy-lens samples
James Pearson, Nan Li, Simon Dye
We explore the effectiveness of deep learning convolutional neural networks (CNNs) for estimating strong gravitational lens mass model parameters. We have investigated a number of…